Virtual scientific community

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A virtual scientific community is a group of people, often researchers and students, who share multiple resources related to the scientific field, and whose main medium of communication is the internet. [1] Examples of such communities include the Computational Intelligence and Machine Learning Portal or the Biomedical Informatics Research Network. [2]

The Biomedical Informatics Research Network, commonly referred among analysts as “BIRN” is a national proposed project to assist biomedical researchers in their bioscience investigations through data sharing and online collaborations. BIRN provides data-sharing infrastructure, advisory services from a single source and software tools and techniques. This national initiative is funded by NIH Grants, the National Center for Research Resources and the National Institute of General Medical Sciences (NIGMS), a component of the United States National Institutes of Health (NIH).

Contents

There are numerous scientific repositories and websites in existence that, while useful, do not meet the definition of a virtual scientific community. Examples of such are data and scientific literature repositories as well as open access journals. [3]

Further reading

See also

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References

  1. Jacek M. Zurada, Janusz Wojtusiak, Maciej A. Mazurowski,Devendra Mehta, Khalid Moidu, Steve Margolis, Toward Multidisciplinary Collaboration in the CIML Virtual Community, Proceedings of the 2008 Workshop on Building Computational Intelligence and Machine Learning Virtual Organizations, pp. 62-66
  2. Jacek M. Zurada, Janusz Wojtusiak, Maciej A. Mazurowski,Devendra Mehta, Khalid Moidu, Steve Margolis, Toward Multidisciplinary Collaboration in the CIML Virtual Community, Proceedings of the 2008 Workshop on Building Computational Intelligence and Machine Learning Virtual Organizations, pp. 62-66
  3. Jacek M. Zurada, Janusz Wojtusiak, Fahmida Chowdhury, James E. Gentle, Cedric J. Jeannot, and Maciej A. Mazurowski, Computational Intelligence Virtual Community: Framework and Implementation Issues, Proceedings of the IEEE World Congress on Computational Intelligence, Hong Kong, June 1–6, 2008